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    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
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/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.

API method:

GET /api/packages?search=hello&page=1&limit=20

where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned in response headers.

If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-ltrctrees 1.1.2
Propagated dependencies: r-survival@3.8-3 r-rpart@4.1.24 r-partykit@1.2-24 r-inum@1.0-5 r-icenreg@2.0.16
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LTRCtrees
Licenses: GPL 3
Build system: r
Synopsis: Survival Trees to Fit Left-Truncated and Right-Censored and Interval-Censored Survival Data
Description:

Recursive partition algorithms designed for fitting survival trees with left-truncated and right-censored (LTRC) data, as well as interval-censored data. The LTRC trees can also be used to fit survival trees with time-varying covariates.

r-lifttest 0.2.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LiftTest
Licenses: GPL 3+
Build system: r
Synopsis: Bootstrap Proportion Test for Brand Lift Testing
Description:

This package provides a bootstrap proportion test for Brand Lift Testing to quantify the effectiveness of online advertising. Methods of the bootstrap proportion test are presented in Liu, Yu, Mao, Wu, Dyer (2023) <doi:10.1145/3583780.3615021>.

r-leprechaun 1.0.0
Propagated dependencies: r-usethis@3.2.1 r-roxygen2@7.3.3 r-jsonlite@2.0.0 r-fs@1.6.6 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=leprechaun
Licenses: GPL 2+
Build system: r
Synopsis: Create Simple 'Shiny' Applications as Packages
Description:

Code generator for robust dependency-free Shiny applications in the form of packages. It includes numerous convenience functions to create modules, include utility functions to create common Bootstrap elements, setup a project from the ground-up, and much more.

r-legocolors 0.4.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/leonawicz/legocolors
Licenses: Expat
Build system: r
Synopsis: Official Lego Color Palettes
Description:

This package provides a dataset containing several color naming conventions established by multiple sources, along with associated color metadata. The package also provides related helper functions for mapping among the different Lego color naming conventions and between Lego colors, hex colors, and R color names, making it easy to convert any color palette to one based on existing Lego colors while keeping as close to the original color palette as possible. The functions use nearest color matching based on Euclidean distance in RGB space. Naming conventions for color mapping include those from BrickLink (<https://www.bricklink.com>), The Lego Group (<https://www.lego.com>), LDraw (<https://www.ldraw.org/>), and Peeron (<http://www.peeron.com/>).

r-logistic4p 1.6
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=logistic4p
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Logistic Regression with Misclassification in Dependent Variables
Description:

Error in a binary dependent variable, also known as misclassification, has not drawn much attention in psychology. Ignoring misclassification in logistic regression can result in misleading parameter estimates and statistical inference. This package conducts logistic regression analysis with misspecification in outcome variables.

r-logisticrci 1.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LogisticRCI
Licenses: GPL 2+
Build system: r
Synopsis: Linear and Logistic Regression-Based Reliable Change Index
Description:

Here we provide an implementation of the linear and logistic regression-based Reliable Change Index (RCI), to be used with lm and binomial glm model objects, respectively, following Moral et al. <https://psyarxiv.com/gq7az/>. The RCI function returns a score assumed to be approximately normally distributed, which is helpful to detect patients that may present cognitive decline.

r-latticekrig 9.3.0
Propagated dependencies: r-spam64@2.10-0 r-spam@2.11-1 r-fields@17.1 r-fftwtools@0.9-11
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://www.r-project.org
Licenses: GPL 2+
Build system: r
Synopsis: Multi-Resolution Kriging Based on Markov Random Fields
Description:

This package provides methods for the interpolation of large spatial datasets. This package uses a basis function approach that provides a surface fitting method that can approximate standard spatial data models. Using a large number of basis functions allows for estimates that can come close to interpolating the observations (a spatial model with a small nugget variance.) Moreover, the covariance model for this method can approximate the Matern covariance family but also allows for a multi-resolution model and supports efficient computation of the profile likelihood for estimating covariance parameters. This is accomplished through compactly supported basis functions and a Markov random field model for the basis coefficients. These features lead to sparse matrices for the computations and this package makes of the R spam package for sparse linear algebra. An extension of this version over previous ones ( < 5.4 ) is the support for different geometries besides a rectangular domain. The Markov random field approach combined with a basis function representation makes the implementation of different geometries simple where only a few specific R functions need to be added with most of the computation and evaluation done by generic routines that have been tuned to be efficient. One benefit of this package's model/approach is the facility to do unconditional and conditional simulation of the field for large numbers of arbitrary points. There is also the flexibility for estimating non-stationary covariances and also the case when the observations are a linear combination (e.g. an integral) of the spatial process. Included are generic methods for prediction, standard errors for prediction, plotting of the estimated surface and conditional and unconditional simulation. See the LatticeKrigRPackage GitHub repository for a vignette of this package. Development of this package was supported in part by the National Science Foundation Grant 1417857 and the National Center for Atmospheric Research.

r-l2densitygoftest 0.6.0
Propagated dependencies: r-nor1mix@1.3-3 r-mvtnorm@1.3-3 r-fgarch@4052.93 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=L2DensityGoFtest
Licenses: GPL 2+
Build system: r
Synopsis: Density Goodness-of-Fit Test
Description:

This package provides functions for the implementation of a density goodness-of-fit test, based on piecewise approximation of the L2 distance.

r-listcomp 0.4.1
Propagated dependencies: r-rlang@1.1.6
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/dirkschumacher/listcomp
Licenses: Expat
Build system: r
Synopsis: List Comprehensions
Description:

An implementation of list comprehensions as purely syntactic sugar with a minor runtime overhead. It constructs nested for-loops and executes the byte-compiled loops to collect the results.

r-likelihood-model 0.9.1
Propagated dependencies: r-r6@2.6.1 r-numderiv@2016.8-1.1 r-mvtnorm@1.3-3 r-generics@0.1.4 r-boot@1.3-32 r-algebraic-mle@0.9.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/queelius/likelihood.model
Licenses: Expat
Build system: r
Synopsis: Likelihood-Based Statistical Inference in the Fisherian Tradition
Description:

Facilitates building likelihood models in the Fisherian tradition following Richard Royall (1997, ISBN:978-0412044113) "Statistical Evidence: A Likelihood Paradigm". Defines generic methods for working with likelihoods (loglik(), score(), hess_loglik(), fim()) and provides functions for pure likelihood-based inference (support(), relative_likelihood(), likelihood_interval(), profile_loglik()). Includes a likelihood contributions model for heterogeneous observation types (exact, censored, etc.) assuming i.i.d. data.

r-libimath 3.2.2-0
Dependencies: cmake@4.1.3
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=libimath
Licenses: Modified BSD
Build system: r
Synopsis: 'Imath' Computer Graphics Linear Algebra Static Library
Description:

This package provides a static library for Imath (see <https://github.com/AcademySoftwareFoundation/Imath>), a library for functions and data types common in computer graphics applications, including a 16-bit floating-point type.

r-labelr 0.1.9
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/rhartmano/labelr
Licenses: GPL 3+
Build system: r
Synopsis: Label Data Frames, Variables, and Values
Description:

Create and use data frame labels for data frame objects (frame labels), their columns (name labels), and individual values of a column (value labels). Value labels include one-to-one and many-to-one labels for nominal and ordinal variables, as well as numerical range-based value labels for continuous variables. Convert value-labeled variables so each value is replaced by its corresponding value label. Add values-converted-to-labels columns to a value-labeled data frame while preserving parent columns. Filter and subset a value-labeled data frame using labels, while returning results in terms of values. Overlay labels in place of values in common R commands to increase interpretability. Generate tables of value frequencies, with categories expressed as raw values or as labels. Access data frames that show value-to-label mappings for easy reference.

r-lamle 0.3.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-numderiv@2016.8-1.1 r-mvtnorm@1.3-3 r-fastghquad@1.0.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lamle
Licenses: GPL 2+
Build system: r
Synopsis: Maximum Likelihood Estimation of Latent Variable Models
Description:

Approximate marginal maximum likelihood estimation of multidimensional latent variable models via adaptive quadrature or Laplace approximations to the integrals in the likelihood function, as presented for confirmatory factor analysis models in Jin, S., Noh, M., and Lee, Y. (2018) <doi:10.1080/10705511.2017.1403287>, for item response theory models in Andersson, B., and Xin, T. (2021) <doi:10.3102/1076998620945199>, and for generalized linear latent variable models in Andersson, B., Jin, S., and Zhang, M. (2023) <doi:10.1016/j.csda.2023.107710>. Models implemented include the generalized partial credit model, the graded response model, and generalized linear latent variable models for Poisson, negative-binomial and normal distributions. Supports a combination of binary, ordinal, count and continuous observed variables and multiple group models.

r-lrqvb 1.0.0
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-mass@7.3-65 r-lava@1.8.2 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LRQVB
Licenses: Expat
Build system: r
Synopsis: Low Rank Correction Quantile Variational Bayesian Algorithm for Multi-Source Heterogeneous Models
Description:

This package provides a Low Rank Correction Variational Bayesian algorithm for high-dimensional multi-source heterogeneous quantile linear models. More details have been written up in a paper submitted to the journal Statistics in Medicine, and the details of variational Bayesian methods can be found in Ray and Szabo (2021) <doi:10.1080/01621459.2020.1847121>. It simultaneously performs parameter estimation and variable selection. The algorithm supports two model settings: (1) local models, where variable selection is only applied to homogeneous coefficients, and (2) global models, where variable selection is also performed on heterogeneous coefficients. Two forms of parameter estimation are output: one is the standard variational Bayesian estimation, and the other is the variational Bayesian estimation corrected with low-rank adjustment.

r-llmr 0.6.3
Propagated dependencies: r-vctrs@0.6.5 r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-mime@0.13 r-memoise@2.0.1 r-jsonlite@2.0.0 r-httr2@1.2.1 r-glue@1.8.0 r-future-apply@1.20.0 r-future@1.68.0 r-dplyr@1.1.4 r-cli@3.6.5 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/asanaei/LLMR
Licenses: Expat
Build system: r
Synopsis: Interface for Large Language Model APIs in R
Description:

This package provides a unified interface to large language models across multiple providers. Supports text generation, structured output with optional JSON Schema validation, and embeddings. Includes tidyverse-friendly helpers, chat session, consistent error handling, and parallel batch tools.

r-lest 1.1.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lest
Licenses: Expat
Build system: r
Synopsis: Vectorised Nested if-else Statements Similar to CASE WHEN in 'SQL'
Description:

This package provides functions for vectorised conditional recoding of variables. case_when() enables you to vectorise multiple if and else statements (like CASE WHEN in SQL'). if_else() is a stricter and more predictable version of ifelse() in base that preserves attributes. These functions are forked from dplyr with all package dependencies removed and behave identically to the originals.

r-l2e 2.0
Propagated dependencies: r-signal@1.8-1 r-robustbase@0.99-6 r-osqp@0.6.3.3 r-ncvreg@3.16.0 r-matrix@1.7-4 r-isotone@1.1-2 r-cobs@1.3-9-1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=L2E
Licenses: GPL 2+
Build system: r
Synopsis: Robust Structured Regression via the L2 Criterion
Description:

An implementation of a computational framework for performing robust structured regression with the L2 criterion from Chi and Chi (2021+). Improvements using the majorization-minimization (MM) principle from Liu, Chi, and Lange (2022+) added in Version 2.0.

r-logib 0.2.1
Propagated dependencies: r-readxl@1.4.5 r-lubridate@1.9.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/admin-ebg/logib
Licenses: GPL 3+
Build system: r
Synopsis: Salary Analysis by the Swiss Federal Office for Gender Equality
Description:

Implementation of the Swiss Confederation's standard analysis model for salary analyses <www.ebg.admin.ch/en/equal-pay-analysis-with-logib> in R. The analysis is run at company-level and the model is intended for medium-sized and large companies. It can technically be used with 50 or more employees (apprentices, trainees/interns and expats are not included in the analysis). Employees with at least 100 employees are required by the Gender Equality Act to conduct an equal pay analysis. This package allows users to run the equal salary analysis in R, providing additional transparency with respect to the methodology and simple automation possibilities.

r-lexfindr 1.1.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/maglab-uconn/LexFindR
Licenses: GPL 3+
Build system: r
Synopsis: Find Related Items and Lexical Dimensions in a Lexicon
Description:

This package implements code to identify lexical competitors in a given list of words. We include many of the standard competitor types used in spoken word recognition research, such as functions to find cohorts, neighbors, and rhymes, amongst many others. The package includes documentation for using a variety of lexicon files, including those with form codes made up of multiple letters (i.e., phoneme codes) and also basic orthographies. Importantly, the code makes use of multiple CPU cores and vectorization when possible, making it extremely fast and able to handle large lexicons. Additionally, the package contains documentation for users to easily write new functions, allowing researchers to examine other relationships within a lexicon. Preprint: <https://osf.io/preprints/psyarxiv/8dyru/>. Open access: <doi:10.3758/s13428-021-01667-6>. Citation: Li, Z., Crinnion, A.M. & Magnuson, J.S. (2021). <doi:10.3758/s13428-021-01667-6>.

r-landscaper 1.3.1
Propagated dependencies: r-terra@1.8-86 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/dariomasante/landscapeR
Licenses: GPL 2+
Build system: r
Synopsis: Categorical Landscape Simulation Facility
Description:

Simulates categorical maps on actual geographical realms, starting from either empty landscapes or landscapes provided by the user (e.g. land use maps). Allows to tweak or create landscapes while retaining a high degree of control on its features, without the hassle of specifying each location attribute. In this it differs from other tools which generate null or neutral landscapes in a theoretical space. The basic algorithm currently implemented uses a simple agent style/cellular automata growth model, with no rules (apart from areas of exclusion) and von Neumann neighbourhood (four cells, aka Rook case). Outputs are raster dataset exportable to any common GIS format.

r-lifeinsurancecontracts 0.0.6
Propagated dependencies: r-lifeinsurer@1.0.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://gitlab.open-tools.net/R/LifeInsureR
Licenses: GPL 2+
Build system: r
Synopsis: Framework for Traditional Life Insurance Contracts
Description:

Use of this package is deprecated. It has been renamed to LifeInsureR'.

r-lidr 4.2.3
Propagated dependencies: r-terra@1.8-86 r-stars@0.6-8 r-sf@1.0-23 r-rnanoflann@0.0.3 r-rlas@1.8.4 r-rgl@1.3.31 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-parallelly@1.45.1 r-lazyeval@0.2.2 r-glue@1.8.0 r-data-table@1.17.8 r-classint@0.4-11 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/r-lidar/lidR
Licenses: GPL 3
Build system: r
Synopsis: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description:

Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write las and laz files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.

r-learnpca 0.3.4
Propagated dependencies: r-shiny@1.11.1 r-rpart@4.1.24 r-nnet@7.3-20 r-markdown@2.0 r-class@7.3-23
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://bryanhanson.github.io/LearnPCA/
Licenses: GPL 3
Build system: r
Synopsis: Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA)
Description:

Principal component analysis (PCA) is one of the most widely used data analysis techniques. This package provides a series of vignettes explaining PCA starting from basic concepts. The primary purpose is to serve as a self-study resource for anyone wishing to understand PCA better. A few convenience functions are provided as well.

r-ldsep 2.1.6
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-modeest@2.4.0 r-matrixstats@1.5.0 r-lpsolve@5.6.23 r-foreach@1.5.2 r-doparallel@1.0.17 r-corrplot@0.95 r-ashr@2.2-63 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://dcgerard.github.io/ldsep/
Licenses: GPL 3+
Build system: r
Synopsis: Linkage Disequilibrium Shrinkage Estimation for Polyploids
Description:

Estimate haplotypic or composite pairwise linkage disequilibrium (LD) in polyploids, using either genotypes or genotype likelihoods. Support is provided to estimate the popular measures of LD: the LD coefficient D, the standardized LD coefficient D', and the Pearson correlation coefficient r. All estimates are returned with corresponding standard errors. These estimates and standard errors can then be used for shrinkage estimation. The main functions are ldfast(), ldest(), mldest(), sldest(), plot.lddf(), format_lddf(), and ldshrink(). Details of the methods are available in Gerard (2021a) <doi:10.1111/1755-0998.13349> and Gerard (2021b) <doi:10.1038/s41437-021-00462-5>.

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